The geometry means it's not so bad. The 'plane is going horizontally, but your initial acceleration is effectively vertical. Thinking of the triangle of forces, the 'plane is going in the sin(θ) direction (therefore with speed) whereas you are going in the cos(θ) direction ... therefore not travelling much.
So the geometry works in your favour, and the forces on you aren't that bad.
Atlas being created is kinda the shot across the bow. You can integrate with us willingly, or we'll hook into your web apps anyways. One retains at least some control. Same outcome as Disney's deal with Sora.
A core SRE principle is that "machines/servers are cattle, not pets". They shouldn't be special or bespoke in a way that makes replacement painful or difficult.
I've heard the term used for servers before but not version control repositories. I just don't understand what it would mean for a git repo to be a cattle vs a pet. Like what is an example of a cattle repo vs a pet repo. The metaphore just sounds like gibberish to me idk.
Unless all it means is that that you can have more than a few like the other commenter said but I didn't think that was what the metaphore meant with respect to servers so again I have no idea lol
To me it would mean that a git repo should not have scripts, runners, etc. configured that we don't have the means to easily and readily replace. It should all be documented and understood well enough that we could kill the repo and init another at will.
This approach is either a means to delay and allow them to hedge, or it's a shortsighted attempt to stop the inevitable. When Google ships their competitor to Atlas, the outcome will already be decided.
The definition of AGI is diffuse enough to make it an argued point - until we can mostly agree it's already happened. For now, the stats are improving well enough across the industry to maintain investor attention. Will it all come crashing down a-la the .com bubble? It's seeming more likely by the quarter.
Like the digital economy post .com burst, I think AI will survive and grow far beyond its current market of chat bots and agents. The weakest will die, but the market will be better off for it in the long run.
The next big problem for AI is time horizons. Frontier AI has roughly doctorate level knowledge across many domains, but it needs to be able to stay on task well/long enough to apply it without a human hand holding it. People are going to have to get used to feeding the AI detailed and accurate plans just like humans, unless we can leverage an expanded form of leading questions like GPT-5 does before executing "deep research". Anthropic feels best positioned to do this on a technical level, but I feel OpenAI will beat them on the product level. I am confident that enough data can be amassed to push time horizons at least in coding, which itself will unlock more capability outside that domain.
I feel it's very different from Tesla, because while Tesla barely ever got closer to their promises the AI industry is at least making visible progress.
> The definition of AGI is diffuse enough to make it an argued point
This hits the nail on the head. 2-3 years ago when the current round of AGI hype started everyone came up with their own definitions of what it meant. Sam Altman et al made it clear that it meant people not needing to work anymore, and spun it in as positive a way as they could.
Now we're all realising that everyone has a different definition, and the Sam Altmans of the world are nit picking over exactly what they mean now so that they can claim success while not actually delivering what everyone expected. No one actually believes that AGI means beating humans on some specific maths olympiad, but that's what we'll likely get. At least this round.
LLMs will become normalised, everyone will see them for the 2x-3x improvement they are (once all externalities are accounted) for, rather than the 10x-100x we were promised, just like every round of disruption beforehand, and we'll wait another 10-20 years to get the next big AI leap.
Unfortunately, loss of buyers often results in them just leaving the crop to rot, as moving it costs more than what they'd make selling it. Not that they should be surprised though. From soybeans to AI silicon, China has shown it is willing to take the hit and source alternatives to US products.
